292 research outputs found
Integrated Identity and Access Management System for Tertiary Institutions in Developing Countries
Issuance of disparate identifiers to students, manual method of student identity management and access control and the unavailability of actionable information on pattern of students’ use of schools’ services describe identity and access management in tertiary institutions in developing countries. An Integrated Identity and Access Management System for tertiary institutions is developed in this work. This Tertiary Identity and Access Management System (T-IAMS) is a fingerprint biometric database that centrally manages students’ identity, course registration, library and medical services information. It shortens student provisioning and de-provisioning processes, provides medical service data mining functionality and offers examination screening module which checks students into examination centres by cross-referencing database enrolment with course registration status. The system was developed following exploratory type of evolutionary software development model. MySql was used in building the database and Visual Basic for developing the graphic user interface of the student record module. The work also reports the results of testing done by 20 testers, on a 5-point scale. Analysis of the test results shows the system’s average acceptability percentage of 100 in ability to prevent duplicate enrolments, 79.165 in effectiveness in student clearance while the format and usefulness of reports generated on the medical service module recorded 73.125 as average acceptability percentage. Also, effectiveness in examination screening averaged 66.785 in performance acceptability. It has been shown that managing student identity centrally eases student provisioning and de-provisioning processes, and tightens access control to school facilities and programmes.http://dx.doi.org/10.4314/njt.v34i4.2
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Interpretable AI tools are often motivated by the goal of understanding model
behavior in out-of-distribution (OOD) contexts. Despite the attention this area
of study receives, there are comparatively few cases where these tools have
identified previously unknown bugs in models. We argue that this is due, in
part, to a common feature of many interpretability methods: they analyze model
behavior by using a particular dataset. This only allows for the study of the
model in the context of features that the user can sample in advance. To
address this, a growing body of research involves interpreting models using
\emph{feature synthesis} methods that do not depend on a dataset.
In this paper, we benchmark the usefulness of interpretability tools on
debugging tasks. Our key insight is that we can implant human-interpretable
trojans into models and then evaluate these tools based on whether they can
help humans discover them. This is analogous to finding OOD bugs, except the
ground truth is known, allowing us to know when an interpretation is correct.
We make four contributions. (1) We propose trojan discovery as an evaluation
task for interpretability tools and introduce a benchmark with 12 trojans of 3
different types. (2) We demonstrate the difficulty of this benchmark with a
preliminary evaluation of 16 state-of-the-art feature attribution/saliency
tools. Even under ideal conditions, given direct access to data with the trojan
trigger, these methods still often fail to identify bugs. (3) We evaluate 7
feature-synthesis methods on our benchmark. (4) We introduce and evaluate 2 new
variants of the best-performing method from the previous evaluation. A website
for this paper and its code is at
https://benchmarking-interpretability.csail.mit.edu/Comment: In Proceedings of the 37th Conference on Neural Information
Processing Systems (NeurIPS 2023
A MIQE-Compliant Real-Time PCR Assay for Aspergillus Detection
PMCID: PMC3393739This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Cis and Trans Effects of Human Genomic Variants on Gene Expression
This work was funded by the Louis-Jeantet Foundation (http://www.jeantet.ch/), the European Research Council (Grant ID: 260927 http://erc.europa.eu/), the Swiss National Foundation (Grant ID: 130342 http://www.snf.ch), NCCR Frontiers In Genetics (http://www.frontiers-in-genetics.org), the UK Medical Research Council (http://www.mrc.ac.uk) and the Wellcome Trust (Grant ID: 092731).
Treatment of Verrucous Carcinoma of the Lower Lip with Topical Imiquimod (Aldara®) and Debulking Therapy
Verrucous carcinoma is an unusual, non-metastasizing, distinct variant of squamous cell carcinoma composed of four subtypes according to the site of occurrence: oral type, anogenital type, plantar type, and other cutaneous sites. Oral type verrucous carcinoma usually shows slow progression with a low incidence of metastases. Treatment of verrcous carcinoma is challenging; multiple medical and surgical therapies are often attempted, with limited success. We reported on 2 cases of verrucous carcinoma of the lip treated with topical imiquimod and debulking therapy
Longer telomere length in peripheral white blood cells is associated with risk of lung cancer and the rs2736100 (CLPTM1L-TERT) polymorphism in a prospective cohort study among women in China.
A recent genome-wide association study of lung cancer among never-smoking females in Asia demonstrated that the rs2736100 polymorphism in the TERT-CLPTM1L locus on chromosome 5p15.33 was strongly and significantly associated with risk of adenocarcinoma of the lung. The telomerase gene TERT is a reverse transcriptase that is critical for telomere replication and stabilization by controlling telomere length. We previously found that longer telomere length measured in peripheral white blood cell DNA was associated with increased risk of lung cancer in a prospective cohort study of smoking males in Finland. To follow up on this finding, we carried out a nested case-control study of 215 female lung cancer cases and 215 female controls, 94% of whom were never-smokers, in the prospective Shanghai Women's Health Study cohort. There was a dose-response relationship between tertiles of telomere length and risk of lung cancer (odds ratio (OR), 95% confidence interval [CI]: 1.0, 1.4 [0.8-2.5], and 2.2 [1.2-4.0], respectively; P trend = 0.003). Further, the association was unchanged by the length of time from blood collection to case diagnosis. In addition, the rs2736100 G allele, which we previously have shown to be associated with risk of lung cancer in this cohort, was significantly associated with longer telomere length in these same study subjects (P trend = 0.030). Our findings suggest that individuals with longer telomere length in peripheral white blood cells may have an increased risk of lung cancer, but require replication in additional prospective cohorts and populations
Omega-3 Fatty Acids for Autistic Spectrum Disorder: A Systematic Review
We conducted a systematic review to determine the safety and efficacy of omega-3 fatty acids for autistic spectrum disorder (ASD). Articles were identified by a search of MEDLINE, EMBASE, and the Cochrane Database using the terms autism or autistic and omega-3 fatty acids. The search identified 143 potential articles and six satisfied all inclusion criteria. One small randomized controlled trial (n = 13) noted non-significant improvements in hyperactivity and stereotypy. The remaining five studies were small (n = 30, 22, 19, 9, and 1) with four reporting improvements in a wide range of outcomes including language and learning skills, parental observations of general health and behavior, a clinician-administered symptom scale, and clinical observations of anxiety. Due to the limitations of evidence from uncontrolled studies and the presence of only one small randomized controlled trial, there is currently insufficient scientific evidence to determine if omega-3 fatty acids are safe or effective for ASD
A Pilot Randomized Controlled Trial of Omega-3 Fatty Acids for Autism Spectrum Disorder
We conducted a pilot randomized controlled trial to determine the feasibility and initial safety and efficacy of omega-3 fatty acids (1.3 g/day) for the treatment of hyperactivity in 27 children ages 3–8 with autism spectrum disorder (ASD). After 12 weeks, hyperactivity, as measured by the Aberrant Behavior Checklist, improved 2.7 (±4.8) points in the omega-3 group compared to 0.3 (±7.2) points in the placebo group (p = 0.40; effect size = 0.38). Correlations were found between decreases in five fatty acid levels and decreases in hyperactivity, and the treatment was well tolerated. Although this pilot study did not find a statistically significant benefit from omega-3 fatty acids, the small sample size does not rule out small to moderate beneficial effects
Common Variation in ISL1 Confers Genetic Susceptibility for Human Congenital Heart Disease
Congenital heart disease (CHD) is the most common birth abnormality and the etiology is unknown in the overwhelming majority of cases. ISLET1 (ISL1) is a transcription factor that marks cardiac progenitor cells and generates diverse multipotent cardiovascular cell lineages. The fundamental role of ISL1 in cardiac morphogenesis makes this an exceptional candidate gene to consider as a cause of complex congenital heart disease. We evaluated whether genetic variation in ISL1 fits the common variant–common disease hypothesis. A 2-stage case-control study examined 27 polymorphisms mapping to the ISL1 locus in 300 patients with complex congenital heart disease and 2,201 healthy pediatric controls. Eight genic and flanking ISL1 SNPs were significantly associated with complex congenital heart disease. A replication study analyzed these candidate SNPs in 1,044 new cases and 3,934 independent controls and confirmed that genetic variation in ISL1 is associated with risk of non-syndromic congenital heart disease. Our results demonstrate that two different ISL1 haplotypes contribute to risk of CHD in white and black/African American populations
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